MtxVec for Delphi/C++ Builder - Frequently Asked Questions

What is MtxVec really?

MtxVec started as an object-oriented numerical library covering linear algebra for matrices and vectors in 1999. Ever since then it has been improving it's speed and functionality. Today MtxVec stands for unprecedented high performance as a math library with a wide range of mathematical functionality. It enables Delphi and .NET developers with truly rapid scientific application development.

Why use MtxVec when Delphi already has math functions?

There are two main reasons. Speed and functionality. If your application needs to deliver real time mathematical results, you need speed. If your application needs to implement special, less known mathematical algorithms, not covered in standard math libraries, you need functionality. In either case MtxVec is a good choice.

Who uses these libraries?

Users include scientists from research labs at Universities, corporate development teams for process control applications and other commercial application designers. In general it's those who know and need math and recognize its potential for their cause.

How does it work?

From the users point of view it's as easy as possible. After including the library and reading the Quickstart introduction, you're ready to begin and let the real hard work happen in the background - in assembly level optimized classes.

Do I need to buy Intel MKL for MtxVec to work?

No. MtxVec uses some functions from MKL library and an additional license is not required.

Will MtxVec run on Linux?

The support for Linux is still an open option and can happen if there will be enough demand.

What about support for 64 bits?

Are there going to be specialy optimized libraries for the AMD CPU's?

Which compilers does MtxVec support?

Latest version supports all Delphi/C++ compilers from including CodeGear Rad Studio 2007. Older versions are also available for download they start with Delphi 6.

Since MtxVec is based on routines only those algorithms available in the library are speeded up?

If all the functions used to write another function run at 90% efficiency, then the new function will also run at 90% efficiency. This means that you can build very fast algorithms by carefully using MtxVec primitives.